Soot Deposition and Gravitational Settling Modeling and the Impact of Particle Size and Agglomeration

J. Floyd, K. Overholt, O. Ezekoye, Hughes Associates
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引用次数: 14

Abstract

Soot concentrations are generally over predicted during the typical application of fire models. The addition of soot deposition and gravitational settling mechanisms to Fire Dynamics Simulator (FDS) results in improved predictions; however, those predictions are highly dependent upon assumptions of soot particle size. Large particle sizes appear to be needed to get FDS predictions on soot concentration to match measured data. Simple predictions of (and experimental data on) aerosol agglomeration show that compartment fires can result in significant amount of large particles sizes; however, the simple predictions do not fully account for the particle sizes needed to match the measured data. Recommendations on additional research and data collection are made to develop improved soot modeling capabilities.
烟尘沉降和重力沉降模型及粒径和团聚的影响
在典型的火灾模型应用中,煤烟浓度通常被高估。在火灾动力学模拟器(FDS)中加入烟尘沉积和重力沉降机制,改进了预测结果;然而,这些预测高度依赖于烟尘颗粒大小的假设。要使FDS对烟尘浓度的预测与实测数据相符,似乎需要更大的颗粒尺寸。对气溶胶聚集的简单预测(和实验数据)表明,隔间火灾可以导致大量的大颗粒;然而,简单的预测并不能完全解释与测量数据相匹配所需的颗粒大小。提出了关于进一步研究和数据收集的建议,以发展改进的烟尘模拟能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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